Business Development Executive

Sales team leader 

Roles and Responsibilities:

Creating an inspiring team environment with an open communication culture.

Setting clear team goals.

Oversee day-to-day operation.

Monitor team performance and report .

Motivate team members.

Generate sales through customer referrals.

Review the sales team performance and explore sales improvement initiatives to achieve the sales targets for the project.

Conduct sales review meetings with the sales team on a periodic basis.

To recruit good quality prospective sales candidate and ensure that they are completing probation in order to achieve the sales target set by the company.

Job Title: Lead Generation Executive

Location: Remote

Job Summary:

We are in search of a "Lead Generation Executive" for a remote role. Your primary responsibility is to help us find potential clients, create leads, and contribute to our sales goals.

Responsibilities:

• Find and create leads to support our sales goals, and also screen the leads and set up meetings.
• Identify new markets and potential customers by doing research.
• Reach out to potential clients through various methods such as calls, networking, and social media.
• Communicate with potential clients, understand their needs, and introduce our products.
• Keep track of sales and performance data and report on progress.

Qualifications and Skills:

• Minimum of 3 years of experience in lead generation or a related field.
• Proven success in lead generation or sales.
• Strong experience in generating leads, cold calling, email campaigns, LinkedIn outreach, and rate negotiations.
• Ability to plan and execute effective lead generation strategies.
• A good understanding of sales and marketing.
• Current knowledge of market trends and competitor activities.
• Strong negotiation and problem-solving skills.
• Excellent communication skills.
• Proficiency in phone calls and presentations.
• Self-motivated, results-driven, and passionate about lead generation.
• Ability to work independently and proactively.
• Familiarity with Microsoft Office, CRM systems, and sales software.

ABOUT THE COMPANY

Augment was started in 2015 in Madison, Wisconsin USA (three hours North of Chicago). We offer Digital Innovation, Application Development, and Staff Augmentation services to clients in the USA. We wanted to help not only our clients but also to provide a good home for developers, designers, and QA team members to work, grow and thrive.

We are a 70+ person team headquartered in Madison, Wisconsin, USA with a larger office in Coimbatore, India. We are also building our teams in Brazil and Eastern Europe. Our company takes pride in genuinely attracting and retaining the best talent. If you want to be part of a high-achieving, knowledgeable, and fun team, then here’s your chance to join a rapidly growing startup that offers an international and diverse work atmosphere. If you are interested in learning more about us, please contact us. You can also talk to our team members to see how they like working with Augment.

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

Desired Candidate Profile

• Experience in selling IT or SaaS solutions
• Strong understanding of the sales funnel
• Comfort working with numbers
• Ability to analyze, calculate and reason a situation effectively
• A sharp eye for detail
• Superior presentation skills
• Ability ot speak and write clearly and correctly
• Ability to manage a large number of prospect situations simultaneously
• Ability to position company products against direct and indirect competitors
• Willingness to travel
• Experience with LMS, B2B, SaaS, IT, cloud, enterprise software, e-learning companies preferred    

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members

• Proxy Incident Management
• DLP Incident Management
• Support to SOC Incidents
• Miscellaneous Security Activities (Management of documentation- Policies/Procedures/ Guidelines etc.)

• Product development-oriented: leading the architecture and design of a multi-tenant, cloud-native platform that hosts the IoT and Analytics apps architecting integration engine with connectors to handle and consume structured and unstructured data from different sources (customers ERP systems, external meta-data, etc) designing frameworks to support Big Data Analytics and real-time actionability based on predictive ML models driving the development of company's IoT platform dashboard and mobile applications with support from UX consultant.
• Internal team-oriented: building and a mentoring team of software developers planning and managing project timelines towards meeting roadmap goals and customer deliverables driving the team towards a test-driven and documented codebase.
• Customer-facing: work with customer's technical team to understand requirements architect and draft solution proposals integrate with customers' existing systems.

Requirements:

• Customer experience-related software development projects.
• In-depth knowledge and hands-on experience of time-series (relational or NoSQL-based) databases.
• Experience in integrating multiple Big Data solutions and legacy database systems.
• Experience in designing high volume data chains, i.e. messaging queues, streaming, processing large amounts of structured and unstructured data for IoT eco-system.
• Hands-on experience with enterprise application frameworks like spring/apache software integration web services (SOAP/RESTful), ESB SDLC tools (Git, Automated Testing Frameworks) cloud platforms (Azure, AWS), and containers (Docker, Kubernetes).
• Experience in building Big Data, AI, Machine Learning analytics pipelines.
• Familiarity with security requirements in IoT space & wireless sensor networks is a plus.